Benford's Law With Splunk
Use Splunk and Benford's Law to detect fraud by analyzing the first digit distribution of numerical data.
Using Amazon SageMaker to Predict Risk Scores from Splunk
Splunker Nimish Doshi covers using Amazon SageMaker and Splunk to further develop a fraud detection use case to predict future risk scores.
Machine Learning in General, Trade Settlement in Particular
Use the Splunk Machine Learning Toolkit to predict the categorical value of any binary field in an event, and how this approach can be used to predict whether a financial trade will settle before its deadline based on the business semantics of related data.
Improvements to Detecting Modern Financial Crime
This blog provides advice to scale the collection and detection of risk scores that are attributed to Financial Crime rules stored in Splunk.
Know Your Customer Again Revisited
Splunker Nimish Doshi provides more details about how the Splunk App for Behavior Profiling makes operationalizing the Know Your Customer use easier to implement.
Helping Law Enforcement with Call Detail Records
This blog gives Splunker Nimish Doshi's history with CDRs at Splunk and a tip on how to correlate CDRs for catching nefarious behavior.
